X-Git-Url: https://code.communitydata.science/covid19.git/blobdiff_plain/ff96d52cb92966dd0c487e6452aeab70773cf3e6:/keywords/analysis/translations_example.py..f770ade87a6e06828f015147f28c1a8334878731:/keywords/example_analysis/static/git-logo.png

diff --git a/keywords/analysis/translations_example.py b/keywords/analysis/translations_example.py
deleted file mode 100644
index 8df986b..0000000
--- a/keywords/analysis/translations_example.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import pandas as pd
-
-# read the latest dataset
-df  = pd.read_csv("https://covid19.communitydata.science/datasets/keywords/csv/latest.csv")
-
-# find translations of "coronavirus"
-coronavirus_itemids = df.loc[df.label.str.lower() == "coronavirus"]
-
-# there are actually 5 item ids. The one referring to the family of virus is Q57751738
-coronavirus_translations = df.loc[df.itemid == "http://www.wikidata.org/entity/Q57751738"]
-
-# let's only look at unique, non-aliases
-print(coronavirus_translations.loc[df.is_alt == False,['label','langcode']])